Hewlett-Packard HP Z640 Workstation
Geekbench AI Score
1427
Single Precision Score
632
Half Precision Score
1575
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | roomac |
| Upload Date | June 03 2025 10:00 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2630 v3 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Hewlett-Packard HP Z640 Workstation |
| Motherboard | Hewlett-Packard 212A |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2630 v3 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1019
189.5 IPS |
|
|
Image Classification (HP)
|
100% |
234
43.5 IPS |
|
|
Image Classification (Q)
|
96% |
1636
305.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
722
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
380
6.16 IPS |
|
|
Image Segmentation (Q)
|
97% |
919
14.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2181
2.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
1794
2.09 IPS |
|
|
Pose Estimation (Q)
|
86% |
3773
4.46 IPS |
|
|
Object Detection (SP)
|
100% |
1056
83.7 IPS |
|
|
Object Detection (HP)
|
100% |
305
24.2 IPS |
|
|
Object Detection (Q)
|
58% |
1008
110.2 IPS |
|
|
Face Detection (SP)
|
100% |
2204
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
681
8.09 IPS |
|
|
Face Detection (Q)
|
96% |
3012
35.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2861
22.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
918
7.07 IPS |
|
|
Depth Estimation (Q)
|
78% |
3374
26.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5378
6.91 IPS |
|
|
Style Transfer (HP)
|
100% |
4063
5.22 IPS |
|
|
Style Transfer (Q)
|
87% |
6247
8.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1055
39.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
843
31.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1060
39.3 IPS |
|
|
Text Classification (SP)
|
100% |
622
830.5 IPS |
|
|
Text Classification (HP)
|
100% |
293
391.3 IPS |
|
|
Text Classification (Q)
|
97% |
208
278.4 IPS |
|
|
Machine Translation (SP)
|
100% |
933
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
334
5.76 IPS |
|
|
Machine Translation (Q)
|
68% |
1176
22.7 IPS |
